Artificial intelligence and machine learning-based overseas public procurement customized bidding information provision service system and method

Abstract

Disclosed are an artificial intelligence and machine learning-based overseas public procurement customized bidding information provision service system and method. The disclosure can provide optimal bidding information suitable for a corresponding company by matching company information, in which domestic companies meet international bidding requirements, and bidding information, which is collected from procurement information of overseas procurement owners, by using an AI-based suitability analysis model.

1 . An artificial intelligence and machine learning-based overseas public procurement customized bidding information provision service system comprising:
 a suitability analysis server ( 100 ) configured to match one or more bid notices, extracted by comparing profile information by company that meets an international bidding requirement stored in a bidding company database ( 200 ) with meta information of a bid notice by buyer stored in a bid notice database ( 300 ), with a corresponding company by using an artificial intelligence-based suitability analysis model, to convert an evaluation item of a buyer, a requirement of general terms and conditions of the buyer, a requirement of special terms and conditions of the buyer, and a requirement of technical specifications of the buyer that are included in the bid notice of the buyer into a quantized value corresponding to a requirement by item, based on common information between the profile information and the meta information, to evaluate matching suitability through calculation of the quantized value for the converted evaluation item and the requirement by item, and to extract an optimal bid notice in which a calculated value of the matching suitability has a highest matching value,   wherein the calculated value of the matching suitability is calculated by the following equation:   
       
         
           
             
               
                 E 
                 = 
                 
                   x 
                   ⁢ 
                       
                   
                     ( 
                     
                       
                         y 
                         ⁢ 
                         1 
                       
                       + 
                       
                         y 
                         ⁢ 
                         2 
                       
                       + 
                       
                         y 
                         ⁢ 
                         3 
                       
                     
                     ) 
                   
                 
               
               , 
             
           
         
         where E is the calculated value of the matching suitability; x is an evaluation item of a purchasing organization, which is a constant; as values for a quantified item-specific requirement of the purchasing organization with respect to the company, which are variables, y1 is a standardized value for the requirement of the general terms and conditions of the buyer, y2 is a standardized value for the requirement of the special terms and conditions of the buyer, and y3 is a standardized value for the requirement of the technical specifications of the buyer. 
       
     
     
         2 . The artificial intelligence and machine learning-based overseas public procurement customized bidding information provision service system of  claim 1 , wherein the suitability analysis server ( 100 ) comprises:
 a company information management unit ( 110 ) configured to manage company analysis information, product analysis information, financial analysis information, bidding environment information, and company capability information about each company provided from a company;   a bid notice management unit ( 120 ) configured to receive bid notice information by connecting to one or more buyer terminals ( 310 ,  311 , and  312 ) and to manage the bid notice information by buyer by dividing the received bid notice information into general terms and conditions, special terms and conditions, and specifications; and   a suitability analysis unit ( 130 ) configured to analyze and evaluate the matching suitability for a bidding condition required by the buyer by mapping one or more company keywords extracted from the profile information by using the artificial intelligence-based suitability analysis model onto one or more words or sentences retrieved from the bid notice by buyer corresponding to the company keywords, to extract the optimal bid notice having the highest matching value, based on the calculated value of the evaluated matching suitability, and to transmit the extracted bid notice to company terminals ( 210 ,  211 , and  212 ) by matching the extracted bid notice to the corresponding company.   
     
     
         3 . The artificial intelligence and machine learning-based overseas public procurement customized bidding information provision service system of  claim 2 , wherein the suitability analysis unit ( 130 ) extracts the bid notice having the highest matching value, based on the matching suitability based on the common information between the profile information and the meta information by mapping the profile information by company to the meta information of the bid notice collected by the bid notice management unit ( 120 ). 
     
     
         4 . The artificial intelligence and machine learning-based overseas public procurement customized bidding information provision service system of  claim 3 , wherein the suitability analysis unit ( 130 ) transmits the one or more extracted bid notices, along with numerical information, to the company terminals ( 210 ,  211 , and  212 ). 
     
     
         5 . The artificial intelligence and machine learning-based overseas public procurement customized bidding information provision service system of  claim 2 , wherein the suitability analysis unit ( 130 ) comprises a learning agent, and
 the learning agent is trained to determine optimal interpretation and intention information for a word or sentence used by the artificial intelligence-based suitability analysis model for each buyer.   
     
     
         6 . The artificial intelligence and machine learning-based overseas public procurement customized bidding information provision service system of  claim 1 , wherein the bidding company database ( 200 ) stores the profile information comprising one or more of company analysis information, product analysis information, financial analysis information, bidding environment information, and company capability information about each company. 
     
     
         7 . The artificial intelligence and machine learning-based overseas public procurement customized bidding information provision service system of  claim 1 , wherein the bid notice database ( 300 ) stores the bid notice by buyer and the meta information comprising a bidding condition based on the bid notice. 
     
     
         8 . The artificial intelligence and machine learning-based overseas public procurement customized bidding information provision service system of  claim 1 , wherein the artificial intelligence-based suitability analysis model evaluates the matching suitability, based on a requirement of minimum eligibility and qualification criteria included in the bid notice. 
     
     
         9 . The artificial intelligence and machine learning-based overseas public procurement customized bidding information provision service system of  claim 8 , wherein the artificial intelligence-based suitability analysis model evaluates the matching suitability, based on technical and financial weights and a requirement of technical evaluation criteria included in the bid notice. 
     
     
         10 . The artificial intelligence and machine learning-based overseas public procurement customized bidding information provision service system of  claim 8 , wherein the artificial intelligence-based suitability analysis model extracts ‘eligibility’ as a company keyword from the profile information by company that meets the international bidding requirement, extracts a sentence related to ‘eligibility’ from the requirements of the bid notice of the buyer, and extracts the common information between the company and the buyer by matching the related sentence extracted from the requirements with detailed condition information about the company related to the company keyword of ‘eligibility’. 
     
     
         11 . An artificial intelligence machine learning-based overseas public procurement customized bidding information provision service method comprising:
 operation a) in which a suitability analysis server ( 100 ) matches one or more bid notices, extracted by comparing profile information by company that meets an international bidding requirement stored in a bidding company database ( 200 ) with meta information of a bid notice by buyer stored in a bid notice database ( 300 ), with a corresponding company by using an artificial intelligence-based suitability analysis model, converts an evaluation item of a buyer, a requirement of general terms and conditions of the buyer, a requirement of special terms and conditions of the buyer, and a requirement of technical specifications of the buyer that are included in the bid notice of the buyer into a quantized value corresponding to a requirement by item, based on common information between the profile information and the meta information, evaluates matching suitability through calculation of the quantized value for the converted evaluation item and the requirement by item, and extracts an optimal bid notice in which a calculated value of the matching suitability has a highest matching value; and   operation b) in which the suitability analysis server ( 100 ) transmits the extracted bid notices to company terminals ( 210 ,  211 , and  212 ) by company,   wherein the calculated value of the matching suitability is calculated by the following equation:   
       
         
           
             
               
                 E 
                 = 
                 
                   x 
                   ⁢ 
                       
                   
                     ( 
                     
                       
                         y 
                         ⁢ 
                         1 
                       
                       + 
                       
                         y 
                         ⁢ 
                         2 
                       
                       + 
                       
                         y 
                         ⁢ 
                         3 
                       
                     
                     ) 
                   
                 
               
               , 
             
           
         
         where E is the calculated value of the matching suitability; x is an evaluation item of a purchasing organization, which is a constant; as values for a quantified item-specific requirement of the purchasing organization with respect to the company, which are variables, y1 is a standardized value for the requirement of the general terms and conditions of the buyer, y2 is a standardized value for the requirement of the special terms and conditions of the buyer, and y3 is a standardized value for the requirement of the technical specifications of the buyer. 
       
     
     
         12 . The artificial intelligence and machine learning-based overseas public procurement customized bidding information provision service method of  claim 11 , wherein the operation a) comprises:
 operation a-1) in which the suitability analysis server ( 100 ) extracts one or more company keywords from the profile information by using the artificial intelligence-based suitability analysis model;   operation a-2) in which the suitability analysis server ( 100 ) evaluates the matching suitability for a bidding condition required by the buyer by mapping one or more words or sentences retrieved from the bid notice by buyer onto the one or more extracted company keywords; and   operation a-3) in which the suitability analysis server ( 100 ) extracts the optimal bid notice having the highest matching value, based on the calculated value of the evaluated matching suitability.   
     
     
         13 . The artificial intelligence and machine learning-based overseas public procurement customized bidding information provision service method of  claim 12 , wherein in the operation a-2), the suitability analysis server ( 100 ) retrieves a used word or sentence by using a learning agent trained to determine optimal interpretation and intention information for each buyer. 
     
     
         14 . The artificial intelligence and machine learning-based overseas public procurement customized bidding information provision service method of  claim 11 , further comprising:
 operation a′) in which the suitability analysis server ( 100 ) stores the profile information comprising one or more of company analysis information, product analysis information, financial analysis information, bidding environment information, and company capability information collected by company in the bidding company database ( 200 ).   
     
     
         15 . The artificial intelligence and machine learning-based overseas public procurement customized bidding information provision service method of  claim 11 , further comprising:
 operation a″) in which the suitability analysis server ( 100 ) stores the bid notice comprising the meta information collected from one or more buyer terminals ( 310 ,  311 , and  312 ) and the bid notice by buyer by dividing the bid notice into general terms and conditions, special terms and conditions, and specifications in the bid notice database ( 300 ).   
     
     
         16 . The artificial intelligence and machine learning-based overseas public procurement customized bidding information provision service method of  claim 11 , wherein the artificial intelligence-based suitability analysis model evaluates the matching suitability, based on a requirement of minimum eligibility and qualification criteria included in the bid notice. 
     
     
         17 . The artificial intelligence and machine learning-based overseas public procurement customized bidding information provision service method of  claim 16 , wherein the artificial intelligence-based suitability analysis model extracts ‘eligibility’ as a company keyword from the profile information by company that meets the international bidding requirement, extracts a sentence related to ‘eligibility’ from the requirements of the bid notice of the buyer, and extracts the common information between the company and the buyer by matching the related sentence extracted from the requirements with detailed condition information about the company related to the company keyword of ‘eligibility’.